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#503 From Data to Differentiation: Ron Green on Building Real AI in the Enterprise

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Manage episode 498836910 series 3506362
Content provided by Mehmet Gonullu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mehmet Gonullu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of The CTO Show with Mehmet, we dive deep with Ron Green, CTO of Kungfu.ai, a veteran AI engineer and serial entrepreneur who’s built 9 startups and deployed 120+ enterprise-grade AI systems. Ron shares how to go beyond AI hype, build custom AI that works, and unlock real ROI using the data you already have.

💡 What You’ll Learn

• Why bottom-up AI initiatives often outperform boardroom mandates

• How to build production-grade AI using your enterprise’s proprietary data

• Why agentic AI and emergent reasoning are the next major frontier

• How startups can avoid the AI label trap and build real defensibility

• A practical 4-phase framework for AI adoption: from data assessment to deployment

• The surprising industries where AI is already transforming operations—from agriculture to finance

🔑 Key Takeaways

• Enterprise AI success starts with use-case clarity and data readiness, not “just build me some AI.”

Agentic AI is coming fast, but businesses must balance autonomy with human-in-the-loop safety.

• Proprietary data remains the strongest moat—not who owns the model, but who owns the insights.

Startups should be AI-native, but they must ground ambitions in execution, not aspiration.

👤 About the Guest

Ron Green is the Co-founder and Chief Technology Officer at KUNGFU. AI, the leading AI management consultancy and engineering firm. He is a sought-after speaker, thought leader, and podcast host who has spent more than 20 years in artificial intelligence. Ron has successfully launched and led several tech ventures, including Thrive Technologies,

Ziften Technologies, and Powered. At KUNGFU.AI, Ron leads the development of AI solutions for clients across multiple industries. He holds a Master’s degree in Evolutionary and Adaptive Systems from the University of Sussex and a Bachelor’s in Computer Science from The University of Texas.

https://www.linkedin.com/in/rongreen/

https://www.kungfu.ai/

⏱️ Episode Highlights & Timestamps

• 00:55 – Ron Green’s background in AI since the Clinton era

• 03:10 – Why Kungfu.ai focuses on strategy before solutions

• 07:50 – Data readiness: where companies still struggle

• 09:15 – Top-down vs. bottom-up AI adoption

• 14:00 – How Kungfu.ai approaches human-in-the-loop AI

• 18:00 – What’s next after generative AI: agentic AI and emergent reasoning

• 22:30 – How startups can harness AI without overhyping

• 27:00 – A 4-phase blueprint for building production-grade AI

• 33:00 – Why every startup needs a real ML engineer now

• 43:00 – What really differentiates companies in the AI era: data, not infrastructure

• 47:00 – Ron’s final thoughts and where to connect

  continue reading

503 episodes

Artwork
iconShare
 
Manage episode 498836910 series 3506362
Content provided by Mehmet Gonullu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mehmet Gonullu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of The CTO Show with Mehmet, we dive deep with Ron Green, CTO of Kungfu.ai, a veteran AI engineer and serial entrepreneur who’s built 9 startups and deployed 120+ enterprise-grade AI systems. Ron shares how to go beyond AI hype, build custom AI that works, and unlock real ROI using the data you already have.

💡 What You’ll Learn

• Why bottom-up AI initiatives often outperform boardroom mandates

• How to build production-grade AI using your enterprise’s proprietary data

• Why agentic AI and emergent reasoning are the next major frontier

• How startups can avoid the AI label trap and build real defensibility

• A practical 4-phase framework for AI adoption: from data assessment to deployment

• The surprising industries where AI is already transforming operations—from agriculture to finance

🔑 Key Takeaways

• Enterprise AI success starts with use-case clarity and data readiness, not “just build me some AI.”

Agentic AI is coming fast, but businesses must balance autonomy with human-in-the-loop safety.

• Proprietary data remains the strongest moat—not who owns the model, but who owns the insights.

Startups should be AI-native, but they must ground ambitions in execution, not aspiration.

👤 About the Guest

Ron Green is the Co-founder and Chief Technology Officer at KUNGFU. AI, the leading AI management consultancy and engineering firm. He is a sought-after speaker, thought leader, and podcast host who has spent more than 20 years in artificial intelligence. Ron has successfully launched and led several tech ventures, including Thrive Technologies,

Ziften Technologies, and Powered. At KUNGFU.AI, Ron leads the development of AI solutions for clients across multiple industries. He holds a Master’s degree in Evolutionary and Adaptive Systems from the University of Sussex and a Bachelor’s in Computer Science from The University of Texas.

https://www.linkedin.com/in/rongreen/

https://www.kungfu.ai/

⏱️ Episode Highlights & Timestamps

• 00:55 – Ron Green’s background in AI since the Clinton era

• 03:10 – Why Kungfu.ai focuses on strategy before solutions

• 07:50 – Data readiness: where companies still struggle

• 09:15 – Top-down vs. bottom-up AI adoption

• 14:00 – How Kungfu.ai approaches human-in-the-loop AI

• 18:00 – What’s next after generative AI: agentic AI and emergent reasoning

• 22:30 – How startups can harness AI without overhyping

• 27:00 – A 4-phase blueprint for building production-grade AI

• 33:00 – Why every startup needs a real ML engineer now

• 43:00 – What really differentiates companies in the AI era: data, not infrastructure

• 47:00 – Ron’s final thoughts and where to connect

  continue reading

503 episodes

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